[Hiring] Data Engineer @Wheels Up

Role Description

Wheels Up is looking for a versatile Data Engineer to join our growing Data Platform team. In this role, you will design, build, and operate scalable data pipelines that power analytics, reporting, and business insights. You’ll combine hands‑on data engineering with light DevOps and operational responsibilities, working within a modern cloud data platform to deliver scalable, reliable, and governed data solutions that power analytics and business insights.

Your Key Responsibilities (Essential Functions)

• Design, build, and maintain scalable, cloud‑native data pipelines using PySpark and Spark SQL
• Develop reliable data ingestion, transformation, and orchestration workflows to support analytics and reporting needs
• Modernize the data platform by migrating legacy SQL logic and stored procedures into distributed, Spark‑based pipelines
• Develop automation and tooling for CI/CD automation, monitoring, alerting, and data quality checks across the data platform
• Support production data operations, including troubleshooting pipeline failures, resolving bugs, and tuning performance
• Manage Databricks operational responsibilities, including workspace configuration, access controls, and permissions
• Collaborate cross-functionally, partnering with analytics, product, and engineering teams to deliver trusted, well‑governed data products
• Contribute to platform standards and best practices around reliability, observability, cost optimization, and data governance

Qualifications

• Bachelor’s (with 4+ years relevant experience) OR Master’s (with 2+ years relevant experience)
• 3+ years of hands‑on experience in data engineering, building and supporting production data pipelines
• Strong proficiency in Python and SQL, with experience writing performance, maintainable code
• Hands‑on experience with distributed data processing frameworks, such as Apache Spark (PySpark, Spark SQL)
• Solid understanding of ETL/ELT design patterns, data modeling, cost optimization, and performance optimization
• Experience working in cloud environments (Azure preferred; AWS or GCP acceptable)
• Familiarity with data lake or lakehouse architecture and modern analytics platforms
• Experience supporting production data systems, including troubleshooting, monitoring, and operational support
• Strong communication skills with the ability to collaborate effectively across technical and non‑technical teams
• High attention to detail, strong data intuition, and a commitment to data quality and reliability
• Comfortable working in a fast‑paced environment with evolving requirements and priorities

Requirements

• Experience with Databricks and orchestration tools (Workflows, Terraform)
• DevOps familiarity (CI/CD, GitHub Actions, Azure DevOps)
• Databricks, Azure, or cloud certifications a plus
• Hands-on experience with at least (1) Cloud service, we use Azure here at Wheels Up
• Advanced level skills in Data Engineering, Python, SQL, and Data Manipulation
• Computer Science or Engineering Background

Physical Requirements

• Ability to sit for extended periods while working at a computer workstation
• Ability to use a computer, keyboard, and mouse for prolonged periods of detailed work
• Sufficient visual acuity to review complex financial statements, tax returns, and supporting documentation
• Ability to speak and hear clearly for frequent meetings and calls with internal teams and external advisors
• Ability to occasionally stand, walk, and move between office work areas
• Ability to lift and carry light office materials (up to approximately 15 pounds) such as files or a laptop
• Ability to maintain focus and accuracy during long periods of analytical, detail-oriented tasks

Benefits

• Salary Range: $140,667.00/Yr. to $150,000/Yr.
• Discretionary annual incentive program based on individual and organizational performance
• Tuition Reimbursement
• Competitive 401(k)
• Comprehensive Medical, Dental, and Vision Insurance
• Complimentary access to mental health and wellness counseling through Spring Health
• Financial planning assistance
• A variety of additional programs and services in support of your total well-being